Indirect assessment of the bivariate survival function |
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Authors: | Nader Ebrahimi |
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Institution: | (1) Division of Statistics, Northern Illinois University, 60115 DeKalb, IL, USA |
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Abstract: | Estimating the bivariate survival function has been a major goal of many researchers. For that purpose many methods and techniques
have been published. However, most of these techniques and methods rely heavily on bivariate failure data. There are situations
in which failure time data are difficult to obtain and thus there is a growing need to assess the bivariate survival function
for such cases. In this paper we propose two techniques for generating families of bivariate processes for describing several
variables that can be used to indirectly assess the bivariate survival function. An estimation procedure is provided and a
simulation study is conducted to evaluate the performance of our proposed estimator. |
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Keywords: | Compound Poisson process Gamma process inverse Gaussian Laplace transformation Poisson process survival function |
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